Image Generation. We employ SAGAN [1]} to input random noise to generate face images on the CelebA [2]} dataset.
CelebA contains 202,599 celebrity images with a resolution of 178\(\times \) 218. We first center crop them to 160\(\times \) 160 and then resize them to 64\(\times \) 64 before feeding them into the model.
Frechet Inception Distance (FID) [3]} is adopted to evaluate the quality of the generated images.
The lower score indicates the better the image generation results.
